activity
20122026
most citedNoise Learning Based Denoising Autoencoder

93 citations · 204 across the 19 of their papers we have counts for

collaborators

19 papers

eess.SP2026

Exploiting Pilot Contamination to Improve UL Sum Rate under Maximum Ratio Combining

Emanuel Wennemo, Ki Won Sung, Emil Björnson

In this work, we show that pilot contamination can be exploited to jointly increase the uplink sum rate and reduce pilot overhead. By leveraging the effect of pilot contamination o…

cs.IT2023★ 1 cited

Multi-Static Target Detection and Power Allocation for Integrated Sensing and Communication in Cell-Free Massive MIMO

Zinat Behdad, Özlem Tuğfe Demir, Ki Won Sung +2

This paper studies an integrated sensing and communication (ISAC) system within a centralized cell-free massive MIMO (multiple-input multiple-output) network for target detection.…

cs.IT2022★ 5 cited

Power Allocation for Joint Communication and Sensing in Cell-Free Massive MIMO

Zinat Behdad, Özlem Tuğfe Demir, Ki Won Sung +2

This paper studies a joint communication and sensing (JCAS) system with downlink communication and multi-static sensing for single-target detection in a cloud radio access network…

cs.IT2022

Low-Latency MAC Design for Pairwise Random Networks

Irshad A. Meer, Woong-Hee Lee, Mustafa Ozger +2

Feasibility of using unlicensed spectrum for ultra reliable low latency communications (URLLC) is still a question for beyond 5G wireless networks. Low latency access to the channe…

cs.IT2021★ 5 cited

Sparse Channel Estimation in Wideband Systems with Geometric Sequence Decomposition

Woong-Hee Lee, Ki Won Sung

The sparsity of multipaths in the wideband channel has motivated the use of compressed sensing for channel estimation. In this letter, we propose a different approach to sparse cha…

cs.LG2021★ 93 cited

Noise Learning Based Denoising Autoencoder

Woong-Hee Lee, Mustafa Ozger, Ursula Challita +1

This letter introduces a new denoiser that modifies the structure of denoising autoencoder (DAE), namely noise learning based DAE (nlDAE). The proposed nlDAE learns the noise of th…